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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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diagnostics metagenomics either wet-lab or bioinformatical. Further particulars are included in the job description. The post is fixed term for three years (available from September 2026 until 31 August 209
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staff. The successful candidate will have a postgraduate degree, ideally a doctoral degree, in a relevant topic, experience in relevant fields such as biostatistics and/or bioinformatics, proven ability
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should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed
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until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2026-05. The supporting statement section should set
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until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-HSRP-2026-06. The supporting statement section should set
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2026-03. The supporting statement section should set out how your qualifications, experience
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-PHES-2026-03. The supporting
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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made